code: def test_drop_last():
      """
      Ensures that the `drop_last` option is respected.
      """
      loader = MultiProcessDataLoader(
          MockDatasetReader(),
          "some path",
          batch_size=16,
          drop_last=True,
      )
      vocab = Vocabulary.from_instances(loader.iter_instances())
      loader.index_with(vocab)
  
      # Should still load all instances. `drop_last` only affects batches.
      assert (
          len(list(loader.iter_instances()))
          == MockDatasetReader.NUM_INSTANCES
      )
  
      # Just here because the assertions below depend on the exact value of NUM_INSTANCES.
      assert MockDatasetReader.NUM_INSTANCES == 100
      batches = list(loader)
      for batch in batches:
          assert len(batch["index"]) == 16
      assert len(batches) == 6
  
imports: from typing import List, Iterable, Dict
  import torch
  import pytest
  from allennlp.common.testing import requires_gpu
  from allennlp.data.instance import Instance
  from allennlp.data.dataset_readers import DatasetReader
  from allennlp.data.data_loaders import MultiProcessDataLoader, WorkerError
  from allennlp.data.fields import Field, TextField, MetadataField, TensorField
  from allennlp.data.tokenizers import PretrainedTransformerTokenizer
  from allennlp.data.token_indexers import PretrainedTransformerIndexer
  from allennlp.data.vocabulary import Vocabulary
  from allennlp.data.data_loaders.data_collator import LanguageModelingDataCollator
label_desc: Use image node_id 3 for calling a global function with example usage: test_drop_last() without return types